v0.0.0a6

Pin versions of requests, urllib3

v0.0.0a5

Fixes OPEN-3628 Conda not available in subprocess calls when running in Docker container

v0.0.0a4

Bump version

v0.0.0a3

Fix aws storage type

v0.0.0a2

Update StorageType enum

v0.0.0a01

Shift back to PyPI because setuptools is not in test PyPI

v0.3.0

Added

• A Project helper class.
• A convenience method create_or_load_project which loads in a project if it is already created.
• Accepts AZURE as a DeploymentType.

Changed

• Compatibility with Unbox API OpenAPI refactor.
• Models and datasets must be added to projects.
• Deprecates categorical_features_map in favor of categorical_feature_names for model and dataset uploads.
• Moved TaskType attribute from the Model level to the Project level. Creating a Project now requires specifying the TaskType.
• Removed name from add_dataset.
• Changed description to commit_message from add_dataset, add_dataframe and add_model.
• requirements_txt_file no longer optional for model uploads.
• NLP dataset character limit is now 1000 characters.

Fixed

• More comprehensive model and dataset upload validation.
• Bug with duplicate feature names for NLP datasets if uploading same dataset twice.
• Added protobuf==3.2.0 to requirements to fix bug with model deployment.

0.3.0rc1

Added

• A Project helper class.
• A convenience method create_or_load_project which loads in a project if it is already created.
• Accepts AZURE as a DeploymentType.

Changed

• Compatibility with Unbox API OpenAPI refactor.
• Models and datasets must be added to projects.
• Deprecates categorical_features_map in favor of categorical_feature_names for model and dataset uploads.
• Moved TaskType attribute from the Model level to the Project level. Creating a Project now requires specifying the TaskType.
• Removed name from add_dataset.
• Changed description to commit_message from add_dataset, add_dataframe and add_model.
• requirements_txt_file no longer optional for model uploads.
• NLP dataset character limit is now 1000 characters.

Fixed

• More comprehensive model and dataset upload validation.
• Bug with duplicate feature names for NLP datasets if uploading same dataset twice.
• Added protobuf==3.2.0 to requirements to fix bug with model deployment.

0.3.0a5

Changed

• NLP dataset character limit to 1000 characters.

Fixed

• Fix issue with duplicate feature names for NLP datasets.

v0.3.0a4

Fixed

• explainability_tokenizer validation.